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brahim zraibi
brahim zraibi
Doctor, Hassan First University of Settat
Bestätigte E-Mail-Adresse bei uhp.ac.ma
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Remaining useful life assessment for lithium-ion batteries using CNN-LSTM-DNN hybrid method
B Zraibi, C Okar, H Chaoui, M Mansouri
IEEE Transactions on Vehicular Technology 70 (5), 4252-4261, 2021
1982021
Comparing deep learning methods to predict the remaining useful life of lithium-ion batteries
B Zraibi, M Mansouri, SE Loukili
Materials Today: Proceedings 62, 6298-6304, 2022
142022
Comparing single and hybrid methods of deep learning for remaining useful life prediction of lithium-ion batteries
B Zraibi, M Mansouri, C Okar
E3S Web of Conferences 297, 01043, 2021
82021
Reducing the training time of deep learning models using synchronous SGD and large batch size
SE Loukili, A Ezzati, SB Alla, B Zraibi
2022 International Conference on Intelligent Systems and Computer Vision …, 2022
32022
Improving lithium-ion battery reliability through neural network remaining useful life prediction
BZ Mohamed Mansouri
IAES International Journal of Artificial Intelligence 14 (1), 83-91, 2025
2025
Advancing Lithium-ion Battery Prognostics: A Novel Deep Learning Framework for Enhanced SOH and RUL Prediction Accuracy
B Zraibi, M Mansouri, MM El Aoud
2024 International Conference on Ubiquitous Networking (UNet) 10, 1-8, 2024
2024
Enhancing Productivity: Design and Implementation of an Automated Elevator for the Rohs Wave Machine
B ZRAIBI, M MANSOURI
International Journal of Computing and Digital Systems 16 (1), 1-12, 2024
2024
Capacity Prediction for Lithium-Ion Batteries Using Different Neural Networks Methods
SE Loukili, A Ezzati, S Ben Alla, B Zraibi
The International Conference on Intelligent System and Smart Technologies, 43-52, 2023
2023
Hybrid Neural Network Method for Predicting the SOH and RUL of Lithium-Ion Batteries
ZRAIBI Brahim, Mohamed Mansouri, Salah-Eddine Loukili, Said Ben Alla,
Advances in Science, Technology and Engineering Systems Journal (ASTES …, 2022
2022
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